df <- data.frame(
group = rep(LETTERS[1:4], each=25),
var1 = rnorm(100, 100, 5),
var2 = rnorm(100, 100, 10),
var3 = rnorm(100, 100, 15)
); df %>% head
## group var1 var2 var3
## 1 A 101.23569 102.23552 115.87668
## 2 A 96.15308 92.74089 89.71213
## 3 A 96.52349 100.10860 103.20212
## 4 A 114.04296 77.48346 98.64264
## 5 A 94.86005 97.12961 84.52902
## 6 A 97.91640 99.33850 105.11337
p1 <- df %>% ggplot() +
geom_boxplot(aes(x = var1))
p2 <- df %>% ggplot() +
geom_boxplot(aes(y = var1))
gridExtra::grid.arrange(p1, p2, nrow = 1)
df %>%
pivot_longer(cols = c(var1, var2, var3), names_to = "cols", values_to = "value") %>%
ggplot(aes(y = value, fill = cols)) +
geom_boxplot()
p1 <- df %>%
ggplot(aes(x = var1)) +
geom_histogram(bins = 10)
p2 <- df %>%
ggplot(aes(y = var1)) +
geom_histogram(bins = 30)
gridExtra::grid.arrange(p1, p2, nrow = 2)
p1 <- df %>%
pivot_longer(cols = c(var1, var2, var3), names_to = "cols", values_to = "value") %>%
ggplot(aes(x = value, fill = cols)) +
geom_histogram(alpha = 0.5)
p2 <- df %>%
pivot_longer(cols = c(var1, var2, var3), names_to = "cols", values_to = "value") %>%
ggplot(aes(x = value, fill = cols)) +
geom_histogram(alpha = 0.5, position = "identity")
gridExtra::grid.arrange(p1, p2, nrow = 2)
p1 <- df %>%
ggplot(aes(x = var1, y = var2)) +
geom_point(aes(col = group))
p2 <- df %>%
ggplot(aes(x = var1, y = var3)) +
geom_point(aes(col = group))
gridExtra::grid.arrange(p1, p2, nrow = 2)
df %>%
pivot_longer(cols = c(var2, var3), names_to = "cols", values_to = "value") %>%
ggplot(aes(x = var1, y = value)) +
geom_point(aes(col = cols), alpha = 0.5) +
geom_smooth()
### geom_line
p1 <- df %>%
mutate(var4 = var1+var2+var3) %>%
ggplot(aes(x = var1, y = var4)) +
geom_line()
p2 <- df %>%
mutate(var4 = var1+var2+var3) %>%
ggplot(aes(x = var1, y = var4)) +
geom_line(aes(col = group))
gridExtra::grid.arrange(p1, p2, nrow = 2)